Ontology-based distributed manufacturing resource model and construction method thereof

Abstract

The invention provides an ontology-based distributed manufacturing resource model and a construction method thereof, an ontology language is adopted to describe attributes of manufacturing resources so as to facilitate data exchange with a resource management platform, a meta-model and a sub-model are adopted to form a multi-layer inheritance relationship, and the multi-layer inheritance relationship comprises that a manufacturing resource type layer inherits attributes in a manufacturing resource attribute library; the manufacturing resource instance layer inherits the manufacturing resource type layer and performs data filling on the manufacturing resource type layer, the service resource layer integrates and encapsulates different resource instances, and in addition, the manufacturing resource attribute library is additionally provided with a self-defined attribute library, so that the dynamic property and the expandability of manufacturing resource model construction are enhanced, the encapsulation efficiency is improved, and the development cost is reduced. And standard data is provided for platform application.

Description

technical field [0001] The present invention relates to the field of cloud manufacturing, in particular to an ontology-based distributed manufacturing resource model and a construction method thereof. Background technique [0002] Manufacturing resources are the necessary material factors for enterprises to carry out production activities. At the same time, as the basic elements in the cloud manufacturing system, they are the basis of resource information management, resource scheduling and information sharing. Therefore, whether the description of manufacturing resource information is scientific and accurate is directly related to the difficulty of manufacturing resource information management and the efficiency of resource scheduling and allocation. [0003] Cloud manufacturing is the use of Internet of Things, cloud computing and other technologies to virtualize and package various soft and hard manufacturing resources and manufacturing capabilities and then connect them ...

AI Technical Summary

Problems solved by technology

As the key technology and important medium to realize cloud manufacturing, the cloud platform plays the role of connecting the underlying distributed manufacturing resources and the upper-level industrial software. It provides in-depth subdivision of industrial applications according to different industries, mainly focusing on data predictive analysis. In the field of asset operation and maintenance optimization, but for the field of resource matching and coordination with high analysis complexity, higher data analysis capabilities and long-term industrial accumulation are required

[0004] However, in the cloud manufacturing environment, the diversity, complexity, and heterogeneity of the manufacturing resources themselves make the definitions of resources also diverse. The current method is to model each type of manufacturing resources separately. , heavy workload and low scalability, and the existing resource description method lacks a unified data standard

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